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AI Tool Comparison

Comparing as AI Medical Research & Clinical Decision Support
Recursion Pharmaceuticals vs BenevolentAI

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

VS
Recursion Pharmaceuticals official logo and brand icon

Recursion Pharmaceuticals

Enterprise
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BenevolentAI official logo and brand icon

BenevolentAI

Enterprise
Visit WebsiteFull Review

Verdict by Category

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View Recursion Pharmaceuticals View BenevolentAI
Feature & Spec Matrix

Detailed Comparison23 Criteria

Complete side-by-side breakdown of specifications, capabilities, and feature parity

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Feature / Spec
Recursion Pharmaceuticals
Recursion Pharmaceuticals
BenevolentAI
BenevolentAI
Pricing Model
EnterpriseAI-enabled drug discovery and mapping (Recursion OS) — Custom biopharma enterprise partnership agreements only
EnterpriseBenevolentAI operates through enterprise pharma collaboration agreements and platform licensing — there is no self-serve access or published pricing. Revenue models include: discovery collaborations with pharma companies (AstraZeneca, Merck) structured as multi-year agreements with upfront fees and milestones; licensing of its knowledge exploration tools as standalone software to pharma R&D organizations; and advancing its own clinical pipeline to inflection points for licensing or co-development. Total funding raised is approximately $1.9B, with the company listed on Euronext Amsterdam (AMS: BAI). Contact BenevolentAI through benevolent.com for partnership and platform licensing inquiries.
Starting Price
Custom / Contact Sales
Custom / Contact Sales
Free Plan & Trial Scope
Difference
No self-serve access — enterprise pharma collaborations and data licensing via partnership team
No free access — enterprise pharma partnerships and platform licensing via sales team
User Rating Score
Unrated
Unrated
Ideal Workflow / Use Case
Difference
Major pharma companies and researchers needing AI-powered biology mapping, target discovery, and drug candidate generation at industrial scale through the Recursion OS platform
Pharmaceutical companies and researchers needing AI-powered knowledge mining for novel drug target identification and disease hypothesis generation in complex diseases
Enterprise & Scalability
Difference
NASDAQ listed (RXRX), $500M+ in pharma partnership milestones earned, enterprise collaboration agreements with Roche/Genentech and Sanofi, automated biology and chemistry labs at industrial scale in Salt Lake City and Oxford, and data licensing for external researchers
Euronext Amsterdam listed (AMS: BAI), $1.9B total raised, in-house wet lab facilities in Cambridge UK, strategic collaborations with AstraZeneca and Merck, HIPAA/GDPR compliant data practices, enterprise licensing for knowledge exploration tools
Core Categories
AI Healthcare ToolsAI Research & Education Tools
AI Healthcare ToolsAI Research & Education Tools
Recursion OS — AI-native end-to-end drug discovery platform integrating biology, chemistry, and clinical development
Supported
Supported
Industrial-scale automated labs in Salt Lake City and Oxford generating proprietary multimodal data
Supported
Supported
REC-4881 for FAP — 53% polyp reduction in Phase 2, FDA registration discussions begun 2026
Difference
Recursion Pharmaceuticals Advantage
Not listed
REC-1245 (RBM39 degrader) in Phase 1/2 DAHLIA study for solid tumors
Difference
Recursion Pharmaceuticals Advantage
Not listed
REC-4539 (LSD1 inhibitor) — first patient dosed in Phase 1 ENLYGHT study 2026
Difference
Recursion Pharmaceuticals Advantage
Not listed
Sanofi partnership — $134M earned to date across 5 milestones
Difference
Recursion Pharmaceuticals Advantage
Not listed
Roche/Genentech Phenomaps — 1 trillion neuronal cells for neuroscience target discovery
Supported
Supported
$500M+ in cumulative pharma partnership milestones earned to date
Difference
Recursion Pharmaceuticals Advantage
Not listed
Recursion Data — phenomics and biology maps licensed to external researchers and pharma
Supported
Supported
NASDAQ: RXRX — founded 2013; $74.7M revenue in 2025; acquired Exscientia in 2024
Difference
Recursion Pharmaceuticals Advantage
Not listed
In-house wet lab facilities in Cambridge UK for AI hypothesis validation
Difference
Not listed
BenevolentAI Advantage
Clinical pipeline: BEN-8744 (Phase 1, ulcerative colitis), BEN-28010 (preclinical, glioblastoma), BEN-34712 (preclinical, ALS)
Difference
Not listed
BenevolentAI Advantage
Integrated AI + wet lab model: AI generates hypotheses, scientists validate in physical experiments
Difference
Not listed
BenevolentAI Advantage
Multi-disease focus: oncology, rare disease, fibrosis, CNS, immunology, and cardiovascular
Difference
Not listed
BenevolentAI Advantage
Listed on Euronext Amsterdam (AMS: BAI) — $1.9B total raised since founding in 2013
Difference
Not listed
BenevolentAI Advantage
Offices in London HQ, Cambridge wet labs, and New York
Difference
Not listed
BenevolentAI Advantage
Recursion Pharmaceuticals icon

Recursion Pharmaceuticals Pros & Cons

Pros

  • $500M+ in pharma partnership milestones — most validated AI drug platform by commercial revenue
  • Recursion OS is the most vertically integrated AI drug discovery system — biology to clinic in one platform
  • Industrial-scale automated labs generate data no other company can replicate
  • Phase 2 FAP clinical proof of concept — 53% polyp reduction — FDA registration discussions began
  • Roche/Genentech and Sanofi as partners — two of the world's top 5 pharma companies
  • Exscientia acquisition in 2024 added cutting-edge small molecule AI design capabilities
  • Cash runway guided into early 2028 — disciplined capital allocation

Cons

  • Stock (RXRX) is below $5 — significant market skepticism on timeline to commercial drugs
  • Operating cash burn of ~$390M in 2026 — needs continued capital or milestone payments
  • Acquired Exscientia in 2024 — integration complexity and added operational overhead
  • No approved drugs yet — clinical proof of concept still early stage
  • Proprietary platform requires industrial-scale automation infrastructure that can't be self-built
BenevolentAI icon

BenevolentAI Pros & Cons

Pros

  • Fully integrated AI + wet lab model — unique among AI drug discovery platforms
  • AstraZeneca and Merck partnerships validate the platform's target identification quality
  • In-house wet labs in Cambridge close the loop between AI prediction and biology
  • Euronext Amsterdam listed (AMS: BAI) — $1.9B raised, publicly accountable
  • Phase 1 clinical data for BEN-8744 (ulcerative colitis) represents real clinical progress
  • Multiple disease areas covered: oncology, rare disease, CNS, fibrosis, and immunology
  • Knowledge exploration tools can be licensed separately from drug pipeline

Cons

  • Listed on Euronext Amsterdam (AMS: BAI) — less accessible to US retail investors
  • Clinical pipeline still in early stages — no approved drugs yet
  • Smaller than competitors like Recursion in terms of funding and team size
  • Revenue dependent on collaboration milestones — lumpy and uncertain
  • Wet-lab operations add cost complexity vs. pure software drug discovery peers
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